data mining, education, e-learning, personalized instruction

The aim of the paper is to present actual research application from the modern area of educational data mining. The paper deals with analysis of the data coming from a questionnaire survey focused on learning characteristics of students. Especially, characteristics supposed to be important for individualized e-learning have been evaluated during the research presented. Results of such kind of analysis could be potentially important for development of an adaptive Learning Management System. In the concrete, cluster analysis and decision tree induction have been used as data mining tools used for the computer analysis focused on identification and description of significant groups of students depending on their learning characteristics.